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Expert in SQL and one analytics programming language (Python or R), and data visualization tools. Familiarity with machine learning algorithms and predictive modeling. 5+ years of professional experience in decision science, data science, business analytics, software engineering, or related field; 1+ years of experience as a Lead, Principle, or senior-level Scientist/Analyst, managing complex projects or early stage products.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. Extensive experience in SQL and using database platforms such as BigQuery, MySQL, Redshift or Snowflake. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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We are looking for Machine Learning Engineers of all skill levels with experience in Python, SQL, AWS & Databricks. As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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As an Application Support Engineer I you will find yourself troubleshooting in-house applications, 3rd party applications, data mining, report building, writing and working with complex queries, database management, indexing, and potentially promoting a software fix.
$60,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The Enterprise Data Engineering team is responsible for designing and developing the enterprise database architecture, data warehouse, reports, machine learning, and predictive analytics at SpaceX. We are part of a larger group called EIS (Enterprise Information Systems) that writes the software that builds rockets and powers SpaceX. We are responsible for all of the software on the factory floor, the warehouses, the financial systems, the restaurant, and even the public home page.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Reporting and Analytics team drives data-driven decision making at UCLA by providing delivering advanced data analytics, learning analytics, data modeling, automation, reporting and dashboarding, and other business intelligence solutions.
$95,900 - $222,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor’s or Master’s degree in Computer Science or a related field with at least two years of professional experience in Machine Learning Operations and Data Engineering. Creating and constructing extensive applications and systems for gathering, processing, and storing multi-terabytes of data from YouTube, TikTok, Facebook, and other social media platforms.
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Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
$139,700 - $247,300 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Coursework or minor in Information Systems, Software Engineering, Computer Science or Data and Analytics preferred; coursework or knowledge of Matlab, R, STATA, SAS, SPSS VBA, SQL preferred.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Strong technical expertise in SQL, data visualization tools (e.g., Tableau), and Python is necessary. You should have a good foundation in marketing measurement, advanced analytics, optimizations, A/B & multivariate testing, as well as a good understanding of machine learning models and other complex data analysis techniques.
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Proficient working with SQL, Excel, or similar data analysis software. Singer employees enjoy generous paid time off, low-cost health insurance, a 401(k) plan with a company match, life and AD&D insurance, long-term and short-term disability, Snap-On tools for our techs, and continuous opportunities for learning and advancement within the company.
$111,600 - $139,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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data learning sql jobs in El Segundo, CA
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